Semantically Annotated Provenance in the Life Science Grid
B. Cao, B. Plale, G. Subramanian, P. Missier, C. Goble, and Y. Simmhan. International Workshop on the role of Semantic Web in Provenance Management (SWPM), volume 526 of CEUR Workshop Proceedings, page 1--6. CEUR-WS.org, (October 2009)
Abstract
Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.
%0 Conference Paper
%1 Cao:swpm:2009
%A Cao, Bin
%A Plale, Beth
%A Subramanian, Girish
%A Missier, Paolo
%A Goble, Carole
%A Simmhan, Yogesh
%B International Workshop on the role of Semantic Web in Provenance Management (SWPM)
%D 2009
%E Freire, Juliana
%E Missier, Paolo
%E Sahoo, Satya Sanket
%I CEUR-WS.org
%K escience, karma, life lsg, msr, peer provenance, reviewed sciences, semantic web,
%P 1--6
%T Semantically Annotated Provenance in the Life Science Grid
%U http://ceur-ws.org/Vol-526/paper_5.pdf
%V 526
%X Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.
@inproceedings{Cao:swpm:2009,
abstract = {Selected semantic annotation on raw provenance data can help bridge the gap between low level provenance events (e.g., service invocations, data creation, message passing) and the high-level view that the user has of his/her investigation (e.g., data retrieval and analysis). In this initial investigation we added semantically annotated provenance to the Life Science Grid, a cyber-infrastructure framework supporting interactive data exploration and automated data analysis tools, through (i) automated data provenance collection and (ii) automated semantic enrichment of the collected provenance metadata. We use a paradigmatic life sciences use case of interactive data exploration to show that semantically annotated provenance can help users recognize the occurrence of specific patterns of investigation from an otherwise low-level sequence of elementary interaction events.},
added-at = {2023-04-07T07:37:58.000+0200},
author = {Cao, Bin and Plale, Beth and Subramanian, Girish and Missier, Paolo and Goble, Carole and Simmhan, Yogesh},
biburl = {https://www.bibsonomy.org/bibtex/2273fce6eee500101f345a421a0438d93/vinayaka2000},
booktitle = {International Workshop on the role of Semantic Web in Provenance Management (SWPM)},
editor = {Freire, Juliana and Missier, Paolo and Sahoo, Satya Sanket},
interhash = {a350b6b2c4b8f49cf7264e0c22474523},
intrahash = {273fce6eee500101f345a421a0438d93},
keywords = {escience, karma, life lsg, msr, peer provenance, reviewed sciences, semantic web,},
month = {October},
owner = {Simmhan},
pages = {1--6},
publisher = {CEUR-WS.org},
series = {CEUR Workshop Proceedings},
timestamp = {2023-04-07T07:37:58.000+0200},
title = {Semantically Annotated Provenance in the Life Science Grid},
url = {http://ceur-ws.org/Vol-526/paper_5.pdf},
volume = 526,
year = 2009
}